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Record W4385887680 · doi:10.55274/r0010951

L51992 Centrifuge Modeling of Frost Heave of Chilled Buried Pipelines

2005· report· en· W4385887680 on OpenAlexaff
Morgan

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsCentre For Cold Ocean Resources Engineering
Fundersnot available
KeywordsFrost heavingCentrifugePermafrostGeotechnical engineeringPipeline transportFrost (temperature)Settlement (finance)Environmental scienceGround freezingGeologyEngineeringEnvironmental engineering

Abstract

fetched live from OpenAlex

This project considers some of the geotechnical and geothermal engineering issues that will need to be considered for the design and construction of large diameter gas transmission pipelines from the arctic production areas to southern markets. The challenges relate to determination of the frost heave and thaw settlement behaviour of a pipeline as it crosses from areas of continuous permafrost, through discontinuous zones to completely unfrozen ground conditions. The use of chilled gas will overcome some problems in already frozen ground but will cause frost heave where a frost bulb is formed through unfrozen ground. A series of centrifuge tests to model a 1.22m (48 ) diameter pipeline, 25m (82) long has been performed to investigate the effects of frost heave on chilled buried gas pipelines. The use of centrifuge tests allows reduced scale models to be tested under similar geotechnical stress conditions and in significantly shorter duration than at full-scale. In addition, the use of engineered artificial soil allows a range of site conditions to be investigated.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.083
GPT teacher head0.285
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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